{"title":"基于细胞直径、比膜电容和利用微流体收缩通道的细胞质电导率的白细胞分类","authors":"Huiwen Tan, Minruihong Wang, Yi Zhang, Xukun Huang, Deyong Chen, Min-Hsien Wu, Junbo Wang, Jian Chen","doi":"10.1109/Transducers50396.2021.9495490","DOIUrl":null,"url":null,"abstract":"This paper reports the classification of white blood cells based on cell diameter D<inf>c</inf>, specific membrane capacitance C<inf>sm</inf> and cytoplasmic conductivity <tex>$\\sigma_{\\text{cy}}$</tex> leveraging a double T-type constriction channel based microfluidic platform. As a demonstration, D<inf>c</inf>, C<inf>sm</inf> and <tex>$\\sigma_{\\text{cy}}$</tex> of granulocytes (<tex>$\\mathrm{n}_{\\text{cell}}=683$</tex>), monocytes (<tex>$\\mathrm{n}_{\\text{cell}}=203$</tex>) and lymphocytes (<tex>$\\mathrm{n}_{\\text{cell}}=856$</tex>) were quantified as <tex>$9.23\\pm 0.60$</tex> vs. <tex>$9.40\\pm 0.54$</tex> vs. <tex>$6.64\\pm 0.41\\ \\mu \\mathrm{m},\\ 1.22\\pm 0.20$</tex> vs. <tex>$1.55\\pm 0.40$</tex> vs. <tex>$1.54\\pm 0.27\\ \\mu \\mathrm{F}/\\text{cm}^{2},\\ 0.35\\pm 0.06$</tex> vs. <tex>$0.53\\pm 0.06$</tex> vs. <tex>$0.46 \\pm 0.06\\ \\mathrm{S}/\\mathrm{m}$</tex>. Successful classification rates of white blood cells were quantified as 71.6% (D<inf>c</inf>), 60.4% (C<inf>sm</inf>), 73.6% (<tex>$\\sigma_{\\text{cy}}$</tex>) and 95.2% (D<inf>c</inf> & C<inf>sm</inf> & <tex>$\\sigma_{\\text{cy}}$</tex>).","PeriodicalId":6814,"journal":{"name":"2021 21st International Conference on Solid-State Sensors, Actuators and Microsystems (Transducers)","volume":"11 1","pages":"1028-1031"},"PeriodicalIF":0.0000,"publicationDate":"2021-06-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Classification of White Blood Cells Based on Cell Diameter, Specific Membrane Capacitance and Cytoplasmic Conductivity Leveraging Microfluidic Constriction Channel\",\"authors\":\"Huiwen Tan, Minruihong Wang, Yi Zhang, Xukun Huang, Deyong Chen, Min-Hsien Wu, Junbo Wang, Jian Chen\",\"doi\":\"10.1109/Transducers50396.2021.9495490\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper reports the classification of white blood cells based on cell diameter D<inf>c</inf>, specific membrane capacitance C<inf>sm</inf> and cytoplasmic conductivity <tex>$\\\\sigma_{\\\\text{cy}}$</tex> leveraging a double T-type constriction channel based microfluidic platform. As a demonstration, D<inf>c</inf>, C<inf>sm</inf> and <tex>$\\\\sigma_{\\\\text{cy}}$</tex> of granulocytes (<tex>$\\\\mathrm{n}_{\\\\text{cell}}=683$</tex>), monocytes (<tex>$\\\\mathrm{n}_{\\\\text{cell}}=203$</tex>) and lymphocytes (<tex>$\\\\mathrm{n}_{\\\\text{cell}}=856$</tex>) were quantified as <tex>$9.23\\\\pm 0.60$</tex> vs. <tex>$9.40\\\\pm 0.54$</tex> vs. <tex>$6.64\\\\pm 0.41\\\\ \\\\mu \\\\mathrm{m},\\\\ 1.22\\\\pm 0.20$</tex> vs. <tex>$1.55\\\\pm 0.40$</tex> vs. <tex>$1.54\\\\pm 0.27\\\\ \\\\mu \\\\mathrm{F}/\\\\text{cm}^{2},\\\\ 0.35\\\\pm 0.06$</tex> vs. <tex>$0.53\\\\pm 0.06$</tex> vs. <tex>$0.46 \\\\pm 0.06\\\\ \\\\mathrm{S}/\\\\mathrm{m}$</tex>. Successful classification rates of white blood cells were quantified as 71.6% (D<inf>c</inf>), 60.4% (C<inf>sm</inf>), 73.6% (<tex>$\\\\sigma_{\\\\text{cy}}$</tex>) and 95.2% (D<inf>c</inf> & C<inf>sm</inf> & <tex>$\\\\sigma_{\\\\text{cy}}$</tex>).\",\"PeriodicalId\":6814,\"journal\":{\"name\":\"2021 21st International Conference on Solid-State Sensors, Actuators and Microsystems (Transducers)\",\"volume\":\"11 1\",\"pages\":\"1028-1031\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2021-06-20\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2021 21st International Conference on Solid-State Sensors, Actuators and Microsystems (Transducers)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/Transducers50396.2021.9495490\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2021 21st International Conference on Solid-State Sensors, Actuators and Microsystems (Transducers)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/Transducers50396.2021.9495490","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1
摘要
本文利用基于双t型收缩通道的微流控平台,基于细胞直径Dc、比膜电容Csm和细胞质电导率$\sigma_{\text{cy}}$对白细胞进行了分类。作为示范,将粒细胞($\mathrm{n}_{\text{cell}}=683$)、单核细胞($\mathrm{n}_{\text{cell}}=203$)和淋巴细胞($\mathrm{n}_{\text{cell}}=856$)的Dc、Csm和$\sigma_{\text{cy}}$量化为$9.23\pm 0.60$ vs. $9.40\pm 0.54$ vs. $6.64\pm 0.41\ \mu \mathrm{m},\ 1.22\pm 0.20$ vs. $1.55\pm 0.40$ vs. $1.54\pm 0.27\ \mu \mathrm{F}/\text{cm}^{2},\ 0.35\pm 0.06$ vs. $0.53\pm 0.06$ vs. $0.46 \pm 0.06\ \mathrm{S}/\mathrm{m}$。白细胞分类成功率量化为71.6% (Dc), 60.4% (Csm), 73.6% ($\sigma_{\text{cy}}$) and 95.2% (Dc & Csm & $\sigma_{\text{cy}}$).
Classification of White Blood Cells Based on Cell Diameter, Specific Membrane Capacitance and Cytoplasmic Conductivity Leveraging Microfluidic Constriction Channel
This paper reports the classification of white blood cells based on cell diameter Dc, specific membrane capacitance Csm and cytoplasmic conductivity $\sigma_{\text{cy}}$ leveraging a double T-type constriction channel based microfluidic platform. As a demonstration, Dc, Csm and $\sigma_{\text{cy}}$ of granulocytes ($\mathrm{n}_{\text{cell}}=683$), monocytes ($\mathrm{n}_{\text{cell}}=203$) and lymphocytes ($\mathrm{n}_{\text{cell}}=856$) were quantified as $9.23\pm 0.60$ vs. $9.40\pm 0.54$ vs. $6.64\pm 0.41\ \mu \mathrm{m},\ 1.22\pm 0.20$ vs. $1.55\pm 0.40$ vs. $1.54\pm 0.27\ \mu \mathrm{F}/\text{cm}^{2},\ 0.35\pm 0.06$ vs. $0.53\pm 0.06$ vs. $0.46 \pm 0.06\ \mathrm{S}/\mathrm{m}$. Successful classification rates of white blood cells were quantified as 71.6% (Dc), 60.4% (Csm), 73.6% ($\sigma_{\text{cy}}$) and 95.2% (Dc & Csm & $\sigma_{\text{cy}}$).